lastmile-ai/mcp-agentjust droppedNEW
dottxt-ai/outlinesjust droppedNEW
getomni-ai/zeroxjust droppedPIPETrendingRepoLIVE · 30 mention sourcesNEWlastmile-ai/mcp-agentjust droppedNEWdottxt-ai/outlinesjust droppedNEWgetomni-ai/zeroxjust droppedPIPETrendingRepoLIVE · 30 mention sourcesA multimodal model understands or generates more than one type of data — such as text plus images, audio, or video — within a single model.
By representing different modalities in a shared space, a multimodal model can read a screenshot, describe an image, or reason over a chart alongside text. Vision-language models in particular power document understanding and AI agents that operate software from what they see.
Open multimodal models bring these capabilities into self-hostable stacks, behind use cases from image generation to UI automation.
Learn it. Build it. Ship it for others.
MOSS‑TTS Family is an open‑source speech and sound generation model family from MOSI.AI and the OpenMOSS team. It is designed for high‑fidelity, high‑expressiveness, and complex real‑world scenarios, covering stable long‑form speech, multi‑speaker dialogue, voice/character design, environmental sound effects, and real‑time streaming TTS.
🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/